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» Algorithmic Complexity Bounds on Future Prediction Errors
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JMLR
2002
89views more  JMLR 2002»
14 years 11 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
JMLR
2002
89views more  JMLR 2002»
14 years 11 months ago
The Set Covering Machine
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
Mario Marchand, John Shawe-Taylor
FUZZIEEE
2007
IEEE
15 years 6 months ago
An On-Line Fuzzy Predictor from Real-Time Data
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
Chih-Ching Hsiao, Shun-Feng Su
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
15 years 3 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas
ICALP
2007
Springer
15 years 6 months ago
Private Locally Decodable Codes
We consider the problem of constructing efficient locally decodable codes in the presence of a computationally bounded adversary. Assuming the existence of one-way functions, we c...
Rafail Ostrovsky, Omkant Pandey, Amit Sahai